Triple
T5297215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubari |
E119883
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object | Lake Umm al-Maa |
E510091
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lake Umm al-Maa | Statement: [Ubari, hasNearbyLake, Lake Umm al-Maa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Umm al-Maa Context triple: [Ubari, hasNearbyLake, Lake Umm al-Maa]
-
A.
Al Habbaniyah Lake
Al Habbaniyah Lake is a large artificial reservoir in central Iraq, known for its recreational facilities and role in irrigation and flood control.
-
B.
Dayet Aoua Lake
Dayet Aoua Lake is a scenic freshwater lake in Morocco’s Middle Atlas region, popular for its natural beauty, birdlife, and outdoor recreation.
-
C.
Lake Qarun
Lake Qarun is a saline lake in Egypt’s Faiyum Depression, known for its ancient history, rich biodiversity, and importance as a protected wetland and bird habitat.
-
D.
Lake Gaberoun
chosen
Lake Gaberoun is a scenic desert lake in Libya’s Ubari Sand Sea, known for its striking turquoise water, surrounding sand dunes, and remnants of an abandoned oasis settlement.
-
E.
Lake Assad
Lake Assad is Syria’s largest artificial lake, created on the Euphrates River to provide water storage, irrigation, and hydroelectric power.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85053e3c8190b28648056d6c5710 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b22be08190ad5d3d6b12b80bcb |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:53 p.m.